Question 1

Which of these are examples of a value in a sparse vector? (Select 2 answers.)

Options :

A : [0, 5, 0, 0, 0, 0]

B : [0, 0, 0, 1, 0, 0, 1]

C : [0, 1]

D : [1, 0, 0, 0, 0, 0, 0]

Answer: C,D

Question 2

How would you query specific partitions in a BigQuery table?

Options :

A : Use the DAY column in the WHERE clause

B : Use the EXTRACT(DAY) clause

C : Use the __PARTITIONTIME pseudo-column in the WHERE clause

D : Use DATE BETWEEN in the WHERE clause

Answer: C

Question 3

You are building a model to make clothing recommendations. You know a user’s fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model?

Options :

A : Continuously retrain the model on just the new data.

B : Continuously retrain the model on a combination of existing data and the new data.

C : Train on the existing data while using the new data as your test set.

D : Train on the new data while using the existing data as your test set.

Answer: C

Question 4

You are designing the architecture of your application to store data in Cloud Storage. Your application consists of pipelines that read data from a Cloud Storage bucket that contains raw data, and write the data to a second bucket after processing. You want to design an architecture with Cloud Storage resources that are capable of being resilient if a Google Cloud regional failure occurs. You want to minimize the recovery point objective (RPO) if a failure occurs, with no impact on applications that use the stored data. What should you do?

Options :

A : Adopt two regional Cloud Storage buckets, and update your application to write the output on both buckets.

B : Adopt multi-regional Cloud Storage buckets in your architecture.

C : Adopt two regional Cloud Storage buckets, and create a daily task to copy from one bucket to the other.

D : Adopt a dual-region Cloud Storage bucket, and enable turbo replication in your architecture.

Answer: D

Question 5

You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need an instant notification to be sent to your monitoring tool when new data is appended to a certain table using an insert job, but you do not want to receive notifications for other tables. What should you do?

Options :

A : Make a call to the Stackdriver API to list all logs, and apply an advanced filter.

B : In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.

C : In the Stackdriver logging admin interface, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.

D : Using the Stackdriver API, create a project sink with advanced log filter to export to Pub/Sub, and subscribe to the topic from your monitoring tool.

Answer: B

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